Risk Modeling and Management with Tableau

Risk Modeling and Management with Tableau

Join us for a captivating session featuring Sean Gilleran, a Principal Data Scientist in PG&E’s Meteorology and Fire Science team. In his role, Sean is at the forefront of strategic and operations risk management, making a real-world impact that extends far beyond the company’s bottom line. His team’s ability to forecast and respond to environmental risks is crucial in preventing irreversible damage to PG&E, its customers, and the environment.

Recognizing the significance of their work, Sean took the initiative to build an analytical ecosystem in Tableau, enabling real-time modeling and mapping of meteorological data. This powerful tool empowered PG&E’s leadership to make informed and confident strategic decisions in mitigating wildfire risks and minimizing customer impacts during California’s fire season.

By forecasting future weather conditions, Sean’s meteorology team played a vital role in supporting PG&E in reducing wildfire risks by an astounding 90% through their Public Safety Power Shutoff program. Additionally, when PG&E’s Enhanced Powerline Safety Settings were enabled, reportable ignitions decreased by an impressive 80% compared to normal settings.

During this session, Sean will delve into the key Tableau infrastructure and operations that underpin PG&E’s Public Safety Power Shutoff program. He will shed light on how the company’s in-house data science, meteorology, and leadership teams effectively leverage his dashboards to mitigate risk while maintaining reliability, ensuring customer satisfaction, and prioritizing environmental safety.

Don’t miss this opportunity to gain valuable insights from Sean Gilleran’s experience in leveraging Tableau to tackle real-world challenges in the energy industry. Join us for this session and discover how PG&E’s innovative use of data science and Tableau dashboards drives effective risk management, ultimately making a positive impact on the company, its customers, and the environment.

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